G01W1/04

In situ measurement station for monitoring wind and water properties in extreme hydrodynamic conditions

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

In situ measurement station for monitoring wind and water properties in extreme hydrodynamic conditions

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

FORECASTING FISHING CONDITIONS USING FORECASTED AND PAST WEATHER
20230011281 · 2023-01-12 ·

A system and method for generating a location-specific, date-specific, numerical forecast indicative of future fishing conditions (e.g., bass fishing conditions). Because water is an insulator that is affected by weather conditions for longer than a single day, fishing conditions are affected by both the current weather conditions in a and weather conditions that occurred in that location in the recent past. Accordingly, uses a rules-based process that captures the specific weather conditions that affect fishing conditions over the specific time period that those weather conditions continue to have an effect.

FORECASTING FISHING CONDITIONS USING FORECASTED AND PAST WEATHER
20230011281 · 2023-01-12 ·

A system and method for generating a location-specific, date-specific, numerical forecast indicative of future fishing conditions (e.g., bass fishing conditions). Because water is an insulator that is affected by weather conditions for longer than a single day, fishing conditions are affected by both the current weather conditions in a and weather conditions that occurred in that location in the recent past. Accordingly, uses a rules-based process that captures the specific weather conditions that affect fishing conditions over the specific time period that those weather conditions continue to have an effect.

Permitting or Denying Access to Light Electric Vehicles Based on Detected or Anticipated Environmental Conditions
20230004879 · 2023-01-05 ·

This disclosure generally relates to a light electric vehicle. More specifically, this disclosure describes how to limit or restrict access to a light electric vehicle based on determined or anticipated environmental conditions. The disclosure also describes how to change one or more capabilities or operating parameters of the light electric vehicle based on determined and/or anticipated environmental conditions.

Modular weather sensing system and method

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

Modular weather sensing system and method

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

DETERMINING PERSONAL OUTDOOR COMFORT WITH INDIVIDUAL AND ENVIRONMENTAL PARAMETERS
20230221461 · 2023-07-13 ·

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

DETERMINING PERSONAL OUTDOOR COMFORT WITH INDIVIDUAL AND ENVIRONMENTAL PARAMETERS
20230221461 · 2023-07-13 ·

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

Aircraft deployable sensor system
11548662 · 2023-01-10 · ·

A method, apparatus, and system for managing sensor system for an aircraft. A presence of erroneous sensor data generated by a set of external sensors on an exterior of the aircraft is detected. A set of deployable sensors is deployed in response to the erroneous sensor data being received from the set of external sensors on the exterior of the aircraft when an undesired environmental condition adverse to the set of external sensors on the exterior of the aircraft is absent. Sensor data is received from the set of deployable sensors.